From: The UDWT image denoising method based on the PDE model of a convexity-preserving diffusion function
Image | Noise variance | PSNR (dB) | Proposed | ||||
---|---|---|---|---|---|---|---|
Noisy image | UDWT threshold | LLT | Y-K | Ref .[22] | |||
Elaine | 20 | 22.13 | 29.61 | 29.84 | 29.64 | 30.15 | 30.22 |
30 | 18.62 | 28.67 | 28.15 | 28.01 | 28.94 | 29.34 | |
40 | 16.11 | 27.77 | 27.21 | 25.86 | 28.2 | 28.35 | |
50 | 14.13 | 27.09 | 24.54 | 23.86 | 27.18 | 27.28 | |
60 | 12.57 | 26.63 | 23.11 | 21.52 | 27.23 | 26.71 | |
Tank | 20 | 22.11 | 28.47 | 28.24 | 28.97 | 27.42 | 29.37 |
30 | 18.57 | 27.93 | 27.23 | 28.41 | 26.18 | 28.64 | |
40 | 16.09 | 27.48 | 24.95 | 27.18 | 25.62 | 27.86 | |
50 | 14.13 | 26.85 | 22.57 | 25.52 | 24.88 | 26.96 | |
60 | 12.58 | 25.98 | 20.31 | 23.35 | 24.12 | 26.17 | |
Sea | 20 | 22.09 | 28.19 | 27.72 | 27.87 | 29.25 | 28.29 |
30 | 18.61 | 27.63 | 27.01 | 27.48 | 27.77 | 27.79 | |
40 | 16.09 | 26.82 | 24.93 | 25.56 | 26.86 | 27.06 | |
50 | 14.16 | 26.18 | 22.62 | 23.63 | 26.14 | 26.31 | |
60 | 12.59 | 25.34 | 20.36 | 21.69 | 25.39 | 25.46 | |
Plane | 20 | 22.12 | 31.67 | 30.39 | 31.45 | 29.76 | 31.87 |
30 | 18.61 | 30.51 | 28.21 | 28.57 | 28.85 | 30.65 | |
40 | 16.07 | 29.12 | 25.48 | 25.87 | 27.97 | 29.31 | |
50 | 14.14 | 28.01 | 22.81 | 23.69 | 26.88 | 28.21 | |
60 | 12.58 | 26.91 | 20.55 | 21.79 | 26.14 | 27.09 | |
Panzer | 20 | 22.12 | 25.17 | 26.72 | 26.78 | 23.47 | 26.81 |
30 | 18.61 | 24.91 | 26.11 | 26.38 | 22.04 | 26.39 | |
40 | 16.08 | 24.71 | 24.25 | 24.61 | 21.24 | 25.86 | |
50 | 14.14 | 24.51 | 22.19 | 22.84 | 20.64 | 25.29 | |
60 | 12.57 | 24.31 | 20.19 | 21.26 | 20.1 | 24.73 |